Lingguo Bu

Shandong University

Papers

3

Total Citations

26

H-Index

3

About

Lingguo Bu is a rising researcher at the intersection of robotics, artificial intelligence, and rehabilitation engineering. His work focuses on developing intelligent systems for healthcare, particularly for stroke rehabilitation and human-robot interaction. Bu’s most notable contribution is a 2024 study combining Style Generative Adversarial Networks (StyleGAN) with Particle Swarm Optimisation-Support Vector Regression (PSO-SVR) to design affective social robots for public health intervention—a novel approach that has already garnered 14 citations for its innovative fusion of deep learning and optimization techniques. In 2023, he conducted a longitudinal assessment of passive training effects on stroke rehabilitation using functional near-infrared spectroscopy (fNIRS), contributing 9 citations to the understanding of neuroplasticity. Most recently, in 2025, Bu developed a novel underactuated exoskeleton rehabilitation glove for hand flexion and extension training, addressing the critical need for affordable, effective devices for the 70% of stroke survivors with upper limb dysfunction. His work demonstrates a clear commitment to translating cutting-edge AI and robotics into tangible solutions for patient recovery and public health.

Research Focus

Key Achievements

3
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Combining style generative adversarial networks with particle swarm optimisation-support vector regression to design affective social robot for public health intervention
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Shandong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago